484
20
11858
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Title
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Conference Papers
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Faculty Publications- Conference Papers
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Emotion Detection Using Machine Learning Technique
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Deep learning; Facial emotion recognition (FER); Facial expressions; Semi-supervised learning; Traditional classification methods
Description
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Face Emotion Recognition (FER) is an emerging and crucial topic today; since much research has been done in this field, there are still many things to explore. In daily life, where people dont have time to fill out feedback, emotion detection plays an important role, which helps to know customer feedback by analyzing expressions and gestures. Analyzing current studies in emotion recognition demonstrates notable advancements made possible by deep learning. A thorough overview of facial emotion recognition (FER) is provided in this publication. The literature cited in this study is taken from various credible research published in the last 10years. This study has built a model for emotion recognition using photos or a camera. The paper is based on the concepts of Machine Learning (ML), Deep Learning (DL), and Neural Networks (NN). A range of publicly available datasets have been used to evaluate evaluation metrics. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
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Shukla S.; Lucas Y.
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Lecture Notes in Networks and Systems, Vol-922 LNNS, pp. 547-557.
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Springer Science and Business Media Deutschland GmbH
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2024-01-01
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<a href="https://doi.org/10.1007/978-981-97-0975-5_48" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-97-0975-5_48</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197320284&doi=10.1007%2F978-981-97-0975-5_48&partnerID=40&md5=3870fdc5766525f82c1cc7d370dbfc50" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197320284&doi=10.1007%2f978-981-97-0975-5_48&partnerID=40&md5=3870fdc5766525f82c1cc7d370dbfc50</a>
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ISSN: 23673370; ISBN: 978-981970974-8
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Online
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English
Type
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Conference paper
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Shukla S., Christ University, Bengaluru, India; Lucas Y., Christ University, Bengaluru, India
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Title
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Book Chapter
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Faculty Publications- Book Chapter
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Data: An Anchor for Decision- Making to Build the Future Workforce Management System
Description
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In this digital era, the change in business environments and the nature of work lead to skill gaps. Training the workforce on desired skill sets must fill these skill gaps. Data play a crucial role in identifying the skills needed and helping organizations to plan the future workforce. Data is essential for any organizations growth and success in the dynamic market. Knowing the skill set in advance allows organizations and individuals to plan the business and skill requirements well. The way work is done may be impacted by these structural changes as the world is changing swiftly. Building the abilities necessary for the uncertain environments of the present and future environments is also crucial for training the employees. However, such skills must first be acknowledged and appreciated before being developed. Empirical data must support the methodology for valuing such abilities and skills. This chapter outlines the significance of data in skill identification for individuals to be future-ready. Finding the most relevant abilities in a given environment is the first step toward their formalization and acceptance at the systems level. It also presents the importance of creating skill matrices for students and organizations. The skill matrix objectively quantifies skill value for specific occupations and the possible trajectories to acquire those skill sets. This metric will allow policymakers to navigate this fast-changing workforce landscape and focus resources to ensure that skills are needed as students transition into the workforce and have skills that enable them to transition. 2024 selection and editorial matter, Alex Khang, Sita Rani, Rashmi Gujrati, Hayri Uygun, and Shashi Kant Gupta; individual chapters, the contributors.
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Shukla S.; Rishiraj A.; Lucas Y.
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Designing Workforce Management Systems for Industry 4.0: Data-Centric and AI-Enabled Approaches, pp. 65-83.
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CRC Press
Date
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2023-01-01
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<a href="https://doi.org/10.1201/9781003357070-5" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003357070-5</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173886314&doi=10.1201%2F9781003357070-5&partnerID=40&md5=b377968065858b0c71e6f2177d041b9b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173886314&doi=10.1201%2f9781003357070-5&partnerID=40&md5=b377968065858b0c71e6f2177d041b9b</a>
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ISBN: 978-100092334-6; 978-103240824-8
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Online
Language
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English
Type
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Book chapter
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Shukla S., CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Rishiraj A., CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Lucas Y., CHRIST (Deemed to be University), Karnataka, Bengaluru, India
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Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Conference Papers
Conference Paper
Faculty Publications- Conference Papers
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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A distributed randomization framework for privacy preservation in big data
Subject
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Anonymization; Confidentiality; Packetization; Privacy; Secure Multi-Party Computation (SMC); Security; Trusted third party (TTP)
Description
An account of the resource
The privacy preservation is a big challenge for data generated from various sources such as social networking sites, online transaction, weather forecast to name a few. Due to the socialization of the internet and cloud computing pica bytes of unstructured data is generated online with intrinsic values. The inflow of big data and the requirement to move this information throughout an organization has become a new target for hackers. This data is subject to privacy laws and should be protected. The proposed protocol is one step toward the security in case of above circumstances where data is coming from multiple participants and all are concerned about individual privacy and confidentiality. 2014 IEEE.
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Shukla S.; Sadashivappa G.
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Proceedings of the 2014 Conference on IT in Business, Industry and Government: An International Conference by CSI on Big Data, CSIBIG 2014
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Institute of Electrical and Electronics Engineers Inc.
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2014-01-01
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<a href="https://doi.org/10.1109/CSIBIG.2014.7056940" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/CSIBIG.2014.7056940</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-84988273261&doi=10.1109%2FCSIBIG.2014.7056940&partnerID=40&md5=d2b09e9e60787cec73dbb169091d1bc1" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-84988273261&doi=10.1109%2fCSIBIG.2014.7056940&partnerID=40&md5=d2b09e9e60787cec73dbb169091d1bc1</a>
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ISBN: 978-147993063-0
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Online
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English
Type
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Conference paper
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Shukla S., Department of Computer Science, Christ University, Bangalore, India; Sadashivappa G., R v College of Engineering, Mysore Road, Bangalore-59, India
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Title
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Conference Papers
Conference Paper
Faculty Publications- Conference Papers
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Title
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Secure multi-party computation protocol using asymmetric encryption
Subject
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Anonymization; Asymmetric Encryption; Privacy; Secure Multi-Party Computation (SMC); Security; trusted third party (TTP)
Description
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Privacy preservation is very essential in various real life applications such as medical science and financial analysis. This paper focuses on implementation of an asymmetric secure multi-party computation protocol using anonymization and public-key encryption where all parties have access to trusted third party (TTP) who (1) doesn't add any contribution to computation (2) doesn't know who is the owner of the input received (3) has large number of resources (4) decryption key is known to trusted third party (TTP) to get the actual input for computation of final result. In this environment, concern is to design a protocol which deploys TTP for computation. It is proposed that the protocol is very proficient (in terms of secure computation and individual privacy) for the parties than the other available protocols. The solution incorporates protocol using asymmetric encryption scheme where any party can encrypt a message with the public key but decryption can be done by only the possessor of the decryption key (private key). As the protocol works on asymmetric encryption and packetization it ensures following: (1) Confidentiality (Anonymity) (2) Security (3) Privacy (Data). 2014 IEEE.
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Shukla S.; Sadashivappa G.
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2014 International Conference on Computing for Sustainable Global Development, INDIACom 2014, pp. 780-785.
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IEEE Computer Society
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2014-01-01
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<a href="https://doi.org/10.1109/IndiaCom.2014.6828069" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/IndiaCom.2014.6828069</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-84903837467&doi=10.1109%2FIndiaCom.2014.6828069&partnerID=40&md5=fa0104d10f3648d72eab338c09868f49" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-84903837467&doi=10.1109%2fIndiaCom.2014.6828069&partnerID=40&md5=fa0104d10f3648d72eab338c09868f49</a>
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ISBN: 978-938054412-0
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Online
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English
Type
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Conference paper
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Shukla S., Christ University, Department of Computer Science and Engineering, Bangalore, India; Sadashivappa G., RV College of Engg, Department of Telecommunication Engineering, Bangalore, India
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Title
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Articles
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Decoding HERO: Predicting psychological capital with subjective well-being
Subject
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HERO; Life satisfaction; Negative affect; Positive affect; Psychological capital; Subjective well-being
Description
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The positive psychology movement has gained momentum in recent years and organizations have ascribed great importance to employee well-being in light of the favorable outcomes associated with it. The widely researched Psychological Capital (PsyCap) has been consistently linked to well-being across a variety of contexts but a gap still exists in literature about what lies to the 'left' of psychological capital. The present study attempts to fill this gap by examining subjective well being components- positive and negative affect and life satisfaction, as potential antecedents of PsyCap. The Academic PsyCap questionnaire, the Positive and Negative Affect Schedule (PANAS) and the Satisfaction with Life Scale (SWLS) were administered to participants. Results confirmed the expected associations between affect and PsyCap-positive affect positively predicted PsyCap and its four constituents whereas negative affect emerged as a negative predictor of PsyCap and its dimensions. Life satisfaction positively predicted only individuals' total hope scores. Thus, highlighting the role of subjective well-being components as antecedents of PsyCap, these findings suggest that promoting higher positive affect and lower negative affect can do more than just make individuals feel good, rather, it can bolster their reservoirs of crucial psychological resources as well. 2021 Ecological Society of India. All rights reserved.
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Shukla S.; Saha S.; Shukla R.
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Indian Journal of Ecology, Vol-48, pp. 147-152.
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Ecological Society of India
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2021-01-01
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<a href="" target="_blank" rel="noreferrer noopener"></a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113803873&partnerID=40&md5=0a8cb713dd3a34813903d9bfd70575ca" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113803873&partnerID=40&md5=0a8cb713dd3a34813903d9bfd70575ca</a>
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ISSN: 3045250
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Online
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English
Type
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Article
Coverage
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Shukla S., Department of Psychology, CHRIST (Deemed to be) University, Delhi NCR, 201 003, India; Saha S., Department of Psychology, CHRIST (Deemed to be) University, Delhi NCR, 201 003, India; Shukla R., Department of Psychology, CHRIST (Deemed to be) University, Delhi NCR, 201 003, India
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Title
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Editorials
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Title
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Preface
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[No abstract available]
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Shukla S.; Sayama H.; Kureethara J.V.; Mishra D.K.
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Lecture Notes in Networks and Systems, Vol-922 LNNS, pp. v-vi.
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Springer Science and Business Media Deutschland GmbH
Date
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2024-01-01
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<a href="" target="_blank" rel="noreferrer noopener"></a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197311425&partnerID=40&md5=fbd92c22811b028f3a179a506de88599" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197311425&partnerID=40&md5=fbd92c22811b028f3a179a506de88599</a>
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ISSN: 23673370; ISBN: 978-981970974-8
Format
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Online
Language
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English
Type
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Editorial
Coverage
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Shukla S., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Sayama H., Binghamton University (CoCo), Binghamton, NY, United States; Kureethara J.V., Department of Mathematics, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Mishra D.K., School of Computer Science and Information Technology, Symbiosis University of Applied Sciences, Madhya Pradesh, Indore, India
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Title
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Editorials
Editorial
Faculty Publications- Editorial
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Title
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Preface
Description
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[No abstract available]
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Shukla S.; Unal A.; Kureethara J.V.; Mishra D.K.; Han D.S.
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Lecture Notes in Networks and Systems, Vol-290, pp. v-vi.
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Springer Science and Business Media Deutschland GmbH
Date
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2021-01-01
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<a href="" target="_blank" rel="noreferrer noopener"></a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115068839&partnerID=40&md5=7ed14e5a566ef66f02727374cb5dee4f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115068839&partnerID=40&md5=7ed14e5a566ef66f02727374cb5dee4f</a>
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ISSN: 23673370; ISBN: 978-981164485-6
Format
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Online
Language
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English
Type
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Editorial
Coverage
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Shukla S., Christ University, Bangalore, India; Unal A., Digital Monozukuri Stanford Alumni, Palo Alto, CA, United States; Kureethara J.V., Christ University, Bangalore, India; Mishra D.K., Computer Science and Engineering Sri Aurobindo Institute of Technology, Indore, Madhya, Pradesh, India; Han D.S., School of Electronics Engineering, Kyungpook National University, Daegu, South Korea
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Title
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Conference Papers
Conference Paper
Faculty Publications- Conference Papers
Dublin Core
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Impact of Expert Academic Teaching Quality and its Performance Based on BiLSTM-Deep CNN Network
Subject
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Bidirectional Long Short-Term Memory (LSTM); Convolutional Neural Network (CNN); Information Gain (IG)
Description
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Undergraduate and postgraduate students from eight different departments at a UK institution participated in organized conversations about the impact of teachers' research activities on their education. In both samples, positive responses greatly outnumbered negative ones. There was an increase in positive feedback on professors' research when the overall quantity and quality of research in a specific field (as measured by Research Assessment Exercise [RAE] ratings) improved. Undergraduate samples with higher RAE scores were more likely to have negative feedback on research than graduate student samples. Both graduate and undergraduate students agreed that lecturers' research increased the instructor's credibility, relevance, and knowledge, as well as piqued and maintained their own interest, engagement, and drive. Data processing, feature selection, and model training are the first steps in the proposed approach. The data are changed from their raw form into a form suitable for academic use during the data pre-processing phase. They are employing Information Gain and Symmetric Uncertainty for feature selection. Following the feature selection process, the models are trained using BiLSTM-CNN. Both the BiLSTM and the CNN methods are inferior to the proposed method. 2023 IEEE.
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Shukla T.D.; Acharjee P.B.; Chethan C.; Thulasimani T.; Sindhu M.; Sharma S.
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7th International Conference on Electronics, Communication and Aerospace Technology, ICECA 2023 - Proceedings, pp. 895-900.
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Institute of Electrical and Electronics Engineers Inc.
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2023-01-01
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<a href="https://doi.org/10.1109/ICECA58529.2023.10395690" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICECA58529.2023.10395690</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186121150&doi=10.1109%2FICECA58529.2023.10395690&partnerID=40&md5=1dd07530ce8c5e424dd1b87fc22ed83e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186121150&doi=10.1109%2fICECA58529.2023.10395690&partnerID=40&md5=1dd07530ce8c5e424dd1b87fc22ed83e</a>
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ISBN: 979-835034060-0
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Online
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English
Type
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Conference paper
Coverage
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Shukla T.D., University Institute of Teachers Training & Research, Chandigarh University, Mohali, India; Acharjee P.B., CHRIST University, Pune, India; Chethan C., Sri Venkateshwara College of Engineering, Department of Information Science and Engineering, Bengaluru, India; Thulasimani T., Bannari Amman Institute of Technology, Department of Mathematics, Tamilnadu, Sathyamangalam, India; Sindhu M., Prince Shri Venkateshwara Padmavathy Engineering College, Department of Computer Science and Engineering, Chennai, India; Sharma S., Madhav Institute of Technology and Science, Department of IT, Madhya Pradesh, Gwalior, India
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Title
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Conference Papers
Conference Paper
Faculty Publications- Conference Papers
Dublin Core
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Title
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Predicting Work Environment and Job Environment Among Employees using Transfer Learning Approach
Subject
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Environmentally Positive Behavior(EPB); Job S atisfaction; Organizational Citizenship Behavior (OCB)
Description
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Today's enterprises face numerous challenges as a result of the world's rapid evolution. Maintaining a content workforce is crucial to a company's success and survival in today's fast-paced business environment. The efficacy, productivity, efficiency, and dedication of the company's staff are directly associated with the company's capacity to meet the needs of its employees in the workplace. The focus of this system is to identify the factors that contribute to a satisfying work environment for the participants. Preprocessing, feature selection, and model training are the first three steps in the suggested methodology. Data mining systems should get in the habit of normalizing data as a preliminary processing step. The multiple elements assessing company culture and worker satisfaction were consolidated using Principal Components Analysis (PCA) in the feature selection phase. Once features have been selected, KNN-SVM is utilized for model training. When compared to the two most popular alternatives, SVM and KNN, the proposed technique performs better. 2023 IEEE.
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Shukla T.D.; Giri P.; Rana P.; Krishna V.P.; Thulasimani T.; Vanisri S.
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2nd International Conference on Automation, Computing and Renewable Systems, ICACRS 2023 - Proceedings, pp. 771-776.
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Institute of Electrical and Electronics Engineers Inc.
Date
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2023-01-01
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<a href="https://doi.org/10.1109/ICACRS58579.2023.10404165" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICACRS58579.2023.10404165</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185383619&doi=10.1109%2FICACRS58579.2023.10404165&partnerID=40&md5=8c532fa188bb9a8b74c8b1c708ef2b16" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185383619&doi=10.1109%2fICACRS58579.2023.10404165&partnerID=40&md5=8c532fa188bb9a8b74c8b1c708ef2b16</a>
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ISBN: 979-835034023-5
Format
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Online
Language
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English
Type
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Conference paper
Coverage
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Shukla T.D., University Institute of Teachers Training and Research, Chandigarh University, Mohali, India; Giri P., School of Business and Management, Christ (Deemed to be University,), Delhi NCR, India; Rana P., Department of MBA, School of Commerce and Management, IIMT University, Meerut, India; Krishna V.P., School of Management and Commerce, Malla Reddy University, Hyderabad, India; Thulasimani T., Department of Mathematics, Bannari Amman Institute of Technology, Tamilnadu, India; Vanisri S., Department of MCA, M.Kumarasamy College of Engineering, TamilNadu, Karur, India
-
https://archives.christuniversity.in/files/original/99a7613c20fa0009cad9259ee52dd063.png
ae8597b1fb62da5294ca14f6fc0ece85
Dublin Core
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Title
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Patents
Subject
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Patent
Description
An account of the resource
Patent
Patent
Patents
Dublin Core
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Title
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A system for simulation of collision resistent secure sum protocol and method thereof /
Subject
The topic of the resource
Computer Science
Description
An account of the resource
Patent Number: 202021055655, Applicant: Dr. Samiksha Shukla.
The present invention discloses a system for simulation of collision resistant secure sum protocol and method thereof. The present invention discloses a simulation apparatus, system and method thereof having a computation system conjugated with a processor and a Trusted Third Party (TTP) system provided on a computation server system, in which computing, by the Trusted Third Party (TTP) system having an initiator, and via the processor, for number of party, packets per party and anonymizers.
Creator
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Shukla, Samiksha.
Source
A related resource from which the described resource is derived
<a href="https://drive.google.com/file/d/1dRnDMxqtkg4KS0KB3SlkJrNDusYfRpY_/view" target="_blank" title="A system for simulation of collision resistent secure sum protocol and method thereof /" rel="noreferrer noopener">https://drive.google.com/file/d/1dRnDMxqtkg4KS0KB3SlkJrNDusYfRpY_/view</a>
Publisher
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Intellectual Property India
Date
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2021-03-24
Language
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English
Type
The nature or genre of the resource
Patent
-
https://archives.christuniversity.in/files/original/230eb235a45afc1a9752b7685a89b5aa.png
ae8597b1fb62da5294ca14f6fc0ece85
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Title
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Patents
Subject
The topic of the resource
Patent
Description
An account of the resource
Patent
Patent
Patents
Dublin Core
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Title
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A system for secure collaborative computation and method thereof /
Subject
The topic of the resource
Computer Science
Description
An account of the resource
Patent Number: 202121003561, Applicant: Dr. Samiksha Shukla.
The present invention discloses a system for Secure Collaborative Computation and method thereof. The present invention discloses a computation system conjugated with a processor and, the processor is to: provide input data by one or more computer system using an input device and further recognizing the input data.
Creator
An entity primarily responsible for making the resource
Shukla, Samiksha.
Source
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<a href="https://drive.google.com/file/d/1UGQkYEshqKKJdPbaYUt9dst8M-MrQTcu/view" target="_blank" title="A system for secure collaborative computation and method thereof /" rel="noreferrer noopener">https://drive.google.com/file/d/1UGQkYEshqKKJdPbaYUt9dst8M-MrQTcu/view</a>
Publisher
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Intellectual Property India
Date
A point or period of time associated with an event in the lifecycle of the resource
2021-03-24
Language
A language of the resource
English
Type
The nature or genre of the resource
Patent
-
https://archives.christuniversity.in/files/original/2d78ec3e71c582e802de2b306794f3cd.png
ae8597b1fb62da5294ca14f6fc0ece85
Dublin Core
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Title
A name given to the resource
Patents
Subject
The topic of the resource
Patent
Description
An account of the resource
Patent
Patent
Patents
Dublin Core
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Title
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A storage system for data encryption and decryption using line and method thereof /
Subject
The topic of the resource
Mathematics
Description
An account of the resource
Patent Number: 202141013775, Applicant: Sanjana Theresa.
The present invention discloses a storage system in a computer network for data encryption and decryption using line graphs and method thereof. The system includes, but not limited to, a processing unit in a computer network that includes at least one hardware processor, the processing system configured to perform: to represent data as vertices in a graph; wherein each character is correspond to a vertex while all adjacent characters in the plaintext will be represented as adjacent vertices in the graph.
Creator
An entity primarily responsible for making the resource
Shukla, Samiksha.
Source
A related resource from which the described resource is derived
<a href="https://drive.google.com/file/d/1uso_9aJFb81-MA5AidKpXF1PyTBOP_if/view" target="_blank" title="A storage system for data encryption and decryption using line and method thereof /" rel="noreferrer noopener">https://drive.google.com/file/d/1uso_9aJFb81-MA5AidKpXF1PyTBOP_if/view</a>
Publisher
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Intellectual Property India
Date
A point or period of time associated with an event in the lifecycle of the resource
2021-03-24
Language
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English
Identifier
An unambiguous reference to the resource within a given context
Patent
-
https://archives.christuniversity.in/files/original/24b7f13e95badf30b5241275af810baa.png
ae8597b1fb62da5294ca14f6fc0ece85
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Patents
Subject
The topic of the resource
Patent
Description
An account of the resource
Patent
Patent
Patents
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
A diet and workout recommendstion system using improved conditional restricted boltzmann machines (CRBM) and method thereof /
Subject
The topic of the resource
Computer Science
Description
An account of the resource
Patent Number: 202141024082, Applicant: Dr. Vaishali M Deshmukh.
The system includes, but not limited to, one or more processor provided in a computer network; and a memory disposed in communication with each of the processor and storing processor executable instructions, the instructions comprising instructions to: process varied datasets of Food items and various nutrient parameters of Food items with respect to their ratings by various food takers and while recommending for a patient or a target user.
Creator
An entity primarily responsible for making the resource
Shukla, Samiksha.
Source
A related resource from which the described resource is derived
<a href="https://drive.google.com/file/d/1Hn9SApjr_-NSRnB-000lCpVav6yn6CJ4/view" target="_blank" title="A diet and workout recommendstion system using improved conditional restricted boltzmann machines (CRBM) and method thereof /" rel="noreferrer noopener">https://drive.google.com/file/d/1Hn9SApjr_-NSRnB-000lCpVav6yn6CJ4/view</a>
Publisher
An entity responsible for making the resource available
Intellectual Property India
Date
A point or period of time associated with an event in the lifecycle of the resource
2021-03-29
Language
A language of the resource
English
Type
The nature or genre of the resource
Patent
-
https://archives.christuniversity.in/files/original/4f084363a3d6349267617dcecf2ed67d.png
ae8597b1fb62da5294ca14f6fc0ece85
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Patents
Subject
The topic of the resource
Patent
Description
An account of the resource
Patent
Patent
Patents
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
A storage system for data encryption and decryption using line graphs and method thereof /
Subject
The topic of the resource
Mathematics
Description
An account of the resource
Patent Number: 202141013775, Applicant: Sanjana Theresa.
The present invention discloses a storage system in a computer network for data encryption and decryption using line graphs and method thereof. The system includes, but not limited to, a processing unit in a computer network that includes at least one hardware processor, the processing system configured to perform.
Creator
An entity primarily responsible for making the resource
Shukla, Samiksha.
Source
A related resource from which the described resource is derived
<a href="https://drive.google.com/file/d/1tr77TfP0DcjJMVu5AySyxjOxRaPPajac/view" target="_blank" title="A storage system for data encryption and decryption using line graphs and method thereof /" rel="noreferrer noopener">https://drive.google.com/file/d/1tr77TfP0DcjJMVu5AySyxjOxRaPPajac/view</a>
Publisher
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Intellectual Property India
Date
A point or period of time associated with an event in the lifecycle of the resource
2021-03-29
Language
A language of the resource
English
Type
The nature or genre of the resource
Patent
-
https://archives.christuniversity.in/files/original/7cdafdd25405268348bc065e06e718e7.png
ae8597b1fb62da5294ca14f6fc0ece85
Dublin Core
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Title
A name given to the resource
Patents
Subject
The topic of the resource
Patent
Description
An account of the resource
Patent
Patent
Patents
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
An apparatus for a predetermined language transliteration and method thereof /
Subject
The topic of the resource
Computer Science
Description
An account of the resource
Patent Number: 202121024080, Applicant: Solley Joseph.
The present invention discloses an apparatus for a predetermined language transliteration and method thereof. The system includes, but not limited to, a processing unit with one or more processors connected with one or more storage devices, and wherein the processing unit is to: acquire scripts or alphabets of the predetermined language through an OCR scanning unit or through any input device.
Creator
An entity primarily responsible for making the resource
Shukla, Samiksha.
Source
A related resource from which the described resource is derived
<a href="https://drive.google.com/file/d/1ZjlOgIHPdagMrcTmUbchUCbKESNGKZ7e/view" target="_blank" title="An apparatus for a predetermined language transliteration and method thereof /" rel="noreferrer noopener">https://drive.google.com/file/d/1ZjlOgIHPdagMrcTmUbchUCbKESNGKZ7e/view</a>
Publisher
An entity responsible for making the resource available
Intellectual Property India
Date
A point or period of time associated with an event in the lifecycle of the resource
2021-03-29
Language
A language of the resource
English
Type
The nature or genre of the resource
Patent
-
https://archives.christuniversity.in/files/original/d11f7a77651c47afe5a16135e326f369.jpg
96e0cb74b7edc75db27cde5309115286
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Patents
Subject
The topic of the resource
Patent
Description
An account of the resource
Patent
Patent
Patents
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Smart assistive device for visually impaired /
Subject
The topic of the resource
Physics
Description
An account of the resource
Patent Number: 202121042792, Applicant: Dr. S. Vijayalakshmi.
The most difficult problem for blind people is to navigate the outside world. Smart devices make it much easier for visual impaired to complete daily tasks like smart speakers, smart bulbs, household smart devices, smart sticks, and many more are easy to control. As a whole, smart devices have the potential to significantly improve the lives of visual impaired people. All apps and devices are used individually for different purposes but for visually impaired person it is very difficult to handle all devices and apps at a particular time.
Creator
An entity primarily responsible for making the resource
Shukla, Samiksha.
Source
A related resource from which the described resource is derived
<a href="https://drive.google.com/file/d/1bLOGEU9pAJa9-bQ5j9gMsCE1n8WoTyn9/view" target="_blank" title="Smart assistive device for visually impaired /" rel="noreferrer noopener">https://drive.google.com/file/d/1bLOGEU9pAJa9-bQ5j9gMsCE1n8WoTyn9/view</a>
Publisher
An entity responsible for making the resource available
Intellectual Property India
Date
A point or period of time associated with an event in the lifecycle of the resource
2021-05-06
Language
A language of the resource
English
Type
The nature or genre of the resource
Patent
-
https://archives.christuniversity.in/files/original/8f4cd5beb7b1c5953bd3d484a492b727.jpg
96e0cb74b7edc75db27cde5309115286
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Patents
Subject
The topic of the resource
Patent
Description
An account of the resource
Patent
Patent
Patents
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Easy and swift cane juicer with augmented bassage brick maker /
Subject
The topic of the resource
Mechanical Engineering
Description
An account of the resource
Patent Number: 202121042785, Applicant: Thomas K T.Sugarcane being one of the largest agriculture-based industry in India, provides subsistence to a huge number of farmers whose life is completely dependent upon sugarcane cultivation and its related products. One major source of income is extraction of Juice from sugarcane by road side vendors and farmers through a traditional machinery which turns out to be old and tedious job to perform. This also results into increased waiting time for customers as the task requires repetition of similar activity of by vendors in order to extract satisfactorily amount of juice from sugarcane by obsolescence machinery.
Creator
An entity primarily responsible for making the resource
Shukla, Samiksha.
Source
A related resource from which the described resource is derived
<a href="https://drive.google.com/file/d/1pH2JWqODikTyZkdOir4IJfik_tfv_O8O/view" target="_blank" title="Easy and swift cane juicer with augmented bassage brick maker /" rel="noreferrer noopener">https://drive.google.com/file/d/1pH2JWqODikTyZkdOir4IJfik_tfv_O8O/view</a>
Publisher
An entity responsible for making the resource available
Intellectual Property India
Date
A point or period of time associated with an event in the lifecycle of the resource
2021-05-06
Language
A language of the resource
English
Type
The nature or genre of the resource
Patent
-
https://archives.christuniversity.in/files/original/e81b5b57f971f93662824ca8fcb72cbb.jpg
0b6dfeeadbd8dbf97f5aef738454f6b9
Dublin Core
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Title
A name given to the resource
Patents
Subject
The topic of the resource
Patent
Description
An account of the resource
Patent
Patent
Patents
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Easy and swift cane juicer with augmented bagasse brick maker /
Subject
The topic of the resource
Mechanical Engineering
Description
An account of the resource
Patent Number: 202121042785, Applicant: Thomas K T.
Sugarcane being one of the largest agriculture-based industry in India, provides subsistence to a huge number of farmers whose life is completely dependent upon sugarcane cultivation and its related products. One major source of income is extraction of Juice from sugarcane by road side vendors and farmers through a traditional machinery which turns out to be old and tedious job to perform. This also results into increased waiting time for customers as the task requires repetition of similar activity of by vendors in order to extract satisfactorily amount of juice from sugarcane by obsolescence machinery.
Creator
An entity primarily responsible for making the resource
Shukla, Samiksha.
Source
A related resource from which the described resource is derived
<a href="https://drive.google.com/file/d/14XII6uecDtp-iNI9reEacBc2mqrWy1j3/view" target="_blank" title="Easy and swift cane juicer with augmented bagasse brick maker /" rel="noreferrer noopener">https://drive.google.com/file/d/14XII6uecDtp-iNI9reEacBc2mqrWy1j3/view</a>
Publisher
An entity responsible for making the resource available
Intellectual Property India
Date
A point or period of time associated with an event in the lifecycle of the resource
2021-05-09
Language
A language of the resource
English
Type
The nature or genre of the resource
Patent
-
https://archives.christuniversity.in/files/original/6e7d0610e8085b3338fd31f8824e8b77.jpg
0b6dfeeadbd8dbf97f5aef738454f6b9
Dublin Core
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Title
A name given to the resource
Patents
Subject
The topic of the resource
Patent
Description
An account of the resource
Patent
Patent
Patents
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
A system for confidential inference and model protection using secure multi-party computation /
Subject
The topic of the resource
Computer Science
Description
An account of the resource
Patent Number: 202241004611, Applicant: Kapil Tiwari.
The present invention relates to probabilistic inference based on secure multi-party computation (SMPC) techniques, and more particularly to Confidential Inference and Model Protection. The present invention addresses the privacy concern of model owners and ML client, by using the confidential inference and model protection aka CoInMPro, a technique to boost privacy of model parameters and client input during ML inference without affecting accuracy by paying a marginal performance cost.
Creator
An entity primarily responsible for making the resource
Shukla, Samiksha.
Source
A related resource from which the described resource is derived
<a href="https://drive.google.com/file/d/1CqLydlRiabeR4jf1pZ1m7TE4b61uIEaW/view" target="_blank" title="A system for confidential inference and model protection using secure multi-party computation /" rel="noreferrer noopener">https://drive.google.com/file/d/1CqLydlRiabeR4jf1pZ1m7TE4b61uIEaW/view</a>
Publisher
An entity responsible for making the resource available
Intellectual Property India
Date
A point or period of time associated with an event in the lifecycle of the resource
2022-05-14
Language
A language of the resource
English
Type
The nature or genre of the resource
Patent
-
https://archives.christuniversity.in/files/original/e19869a653b51648471949ca7844ebea.jpg
0b6dfeeadbd8dbf97f5aef738454f6b9
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Patents
Subject
The topic of the resource
Patent
Description
An account of the resource
Patent
Patent
Patents
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
A system for confidential training and inference for vertically partitioned dataset using secure multi-party computation /
Subject
The topic of the resource
Computer Science
Description
An account of the resource
Patent Number: 202241057386, Application: Kapil Tiwari.
The present invention applies to probabilistic inference employing secure multi-party computation (SMPC) methodologies including confidential training, inference, and model protection for vertically partitioned datasets. The proposed invention addresses privacy complexities of vertically partitioned data owners, model owners, and ML clients using confidential training, inference, and model protection (CoTraIn-VPD), a technique to boost data, model parameter, and client input privacy during ML inference without affecting accuracy or performance.
Creator
An entity primarily responsible for making the resource
Shukla, Samiksha.
Source
A related resource from which the described resource is derived
<a href="https://drive.google.com/file/d/1htzWt7TjxjOYvJqqOdMmCEh9s5aA5w07/view" target="_blank" title="A system for confidential training and inference for vertically partitioned dataset using secure multi-party computation /" rel="noreferrer noopener">https://drive.google.com/file/d/1htzWt7TjxjOYvJqqOdMmCEh9s5aA5w07/view</a>
Publisher
An entity responsible for making the resource available
Intellectual Property India
Date
A point or period of time associated with an event in the lifecycle of the resource
2022-05-23
Language
A language of the resource
English
Type
The nature or genre of the resource
Patent